Package evaluation to test SDDP on Julia 1.14.0-DEV.2071 (559ec66647*) started at 2026-04-26T19:16:47.850 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.67s ################################################################################ # Installation # Installing SDDP... Resolving package versions... Installed SDDP ─ v1.13.2 Updating `~/.julia/environments/v1.14/Project.toml` [f4570300] + SDDP v1.13.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.8.0 [d1d4a3ce] + BitFlags v0.1.9 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [f6369f11] + ForwardDiff v1.3.3 [cd3eb016] + HTTP v1.11.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.5.0 [4076af6c] + JuMP v1.30.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.50.1 [739be429] + MbedTLS v1.1.10 [d8a4904e] + MutableArithmetics v1.7.1 [77ba4419] + NaNMath v1.1.3 [4d8831e6] + OpenSSL v1.6.1 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [f4570300] + SDDP v1.13.2 [777ac1f9] + SimpleBufferStream v1.2.0 [276daf66] + SpecialFunctions v2.7.2 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [ec057cc2] + StructUtils v2.8.0 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [14a3606d] + MozillaCACerts_jll v2026.3.19 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 6.85s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 13.0 s ✓ MathOptIIS 36.6 s ✓ SDDP 53.3 s ✓ HiGHS 3 dependencies successfully precompiled in 106 seconds. 211 already precompiled. Precompilation completed after 138.82s ################################################################################ # Testing # Testing SDDP Status `/tmp/jl_szoHUX/Project.toml` ⌅ [87dc4568] HiGHS v1.22.2 [b6b21f68] Ipopt v1.14.1 [682c06a0] JSON v1.5.0 [7d188eb4] JSONSchema v1.5.0 [91a5bcdd] Plots v1.41.6 [f4570300] SDDP v1.13.2 [10745b16] Statistics v1.11.1 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_szoHUX/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.8.0 [d1d4a3ce] BitFlags v0.1.9 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [f0e56b4a] ConcurrentUtilities v2.5.1 [d38c429a] Contour v0.6.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.4 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Testing Running tests... [ Info: Experimental.jl [ Info: fetching remote ref https://jump.dev/MathOptFormat/schemas/mof.1.schema.json [ Info: Inner.jl Node: 3 - elapsed time: 0.45 plus 13.25 for vertex selection. Node: 2 - elapsed time: 0.31 plus 0.3 for vertex selection. Node: 1 - elapsed time: 0.31 plus 0.3 for vertex selection. First-stage upper bound: 45.83333333333332 Total time for upper bound: 14.924539547 ┌ Warning: You must select an optimizer for performing vertex selection. └ @ SDDP.Inner ~/.julia/packages/SDDP/R1Ovj/src/Inner.jl:1049 Node: 19 - elapsed time: 0.4 plus 0.36 for vertex selection. Node: 18 - elapsed time: 0.54 plus 0.36 for vertex selection. Node: 17 - elapsed time: 0.52 plus 0.37 for vertex selection. Node: 16 - elapsed time: 0.52 plus 0.35 for vertex selection. Node: 15 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 14 - elapsed time: 0.49 plus 0.33 for vertex selection. Node: 13 - elapsed time: 0.5 plus 0.35 for vertex selection. Node: 12 - elapsed time: 0.49 plus 0.34 for vertex selection. Node: 11 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 10 - elapsed time: 0.46 plus 0.35 for vertex selection. Node: 9 - elapsed time: 0.48 plus 0.36 for vertex selection. Node: 8 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 7 - elapsed time: 0.48 plus 0.34 for vertex selection. Node: 6 - elapsed time: 0.48 plus 0.35 for vertex selection. Node: 5 - elapsed time: 0.49 plus 0.35 for vertex selection. Node: 4 - elapsed time: 0.51 plus 0.37 for vertex selection. Node: 3 - elapsed time: 0.5 plus 0.35 for vertex selection. Node: 2 - elapsed time: 0.95 plus 0.36 for vertex selection. Node: 1 - elapsed time: 0.53 plus 0.34 for vertex selection. Selection removed 500 vertices [ Info: MSPFormat.jl [ Info: algorithm.jl ┌ Warning: Unable to recover in direct mode! Remove `direct = true` when creating the policy graph. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:402 [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` [ Info: Writing cuts to the file `model_infeasible_node_1.cuts.json` ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.AffExpr in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [2, 2] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- † 1 0.000000e+00 0.000000e+00 6.126361e-01 4 1 3 0.000000e+00 0.000000e+00 1.289699e+00 12 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.289699e+00 total solves : 12 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 1 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [4, 4] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.100000e+05 1.075000e+05 7.975581e-01 9 1 20 7.500000e+04 1.075000e+05 1.732330e+00 204 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.732330e+00 total solves : 204 best bound : 1.075000e+05 simulation ci : 8.268750e+04 ± 1.084410e+04 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 [ Info: binary_expansion.jl [ Info: deterministic_equivalent.jl [ Info: modeling_aids.jl ┌ Warning: Budget for nodes is less than the number of stages. Using one node per stage. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/modeling_aids.jl:125 [ Info: user_interface.jl [ Info: backward_sampling_schemes.jl [ Info: bellman_functions.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.138889e+01 2.753818e+00 12 1 10 2.500000e+00 3.361111e+01 2.786749e+00 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.786749e+00 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.500000e+01 2.083333e+01 6.638300e-01 12 1 10 2.500000e+00 3.361111e+01 7.016799e-01 120 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.016799e-01 total solves : 120 best bound : 3.361111e+01 simulation ci : 2.775000e+01 ± 3.280073e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.143885e-02 46 1 50 0.000000e+00 1.191663e+02 8.012309e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 8.012309e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 1 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] JuMP.AffExpr in MOI.EqualTo{Float64} : [2, 2] JuMP.VariableRef in MOI.EqualTo{Float64} : [3, 3] JuMP.VariableRef in MOI.GreaterThan{Float64} : [5, 5] JuMP.VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+01] bounds range [5e+00, 2e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.250000e+01 5.268631e+01 1.125503e-02 46 1 50 0.000000e+00 1.191663e+02 7.968681e-01 1625 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.968681e-01 total solves : 1625 best bound : 1.191663e+02 simulation ci : 7.795000e+01 ± 2.885518e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: duality_handlers.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 2 scenarios : 1.00000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 11] JuMP.AffExpr in MOI.LessThan{Float64} : [2, 2] JuMP.VariableRef in MOI.GreaterThan{Float64} : [3, 7] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 7] JuMP.VariableRef in MOI.ZeroOne : [4, 4] numerical stability report matrix range [1e+00, 6e+00] objective range [1e+00, 3e+01] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -4.650000e+01 -7.053967e+01 4.816942e+00 103 1 3S -5.785826e+01 -6.755367e+01 6.824797e+00 309 1 4S -6.230988e+01 -6.688020e+01 8.014178e+00 412 1 5S -7.577792e+01 -6.680771e+01 9.288395e+00 515 1 11S -8.368889e+01 -6.677644e+01 1.553500e+01 1133 1 19S -4.168889e+01 -6.677644e+01 2.064880e+01 1957 1 27S -6.068889e+01 -6.677644e+01 2.571474e+01 2781 1 35S -3.268889e+01 -6.677644e+01 3.099832e+01 3605 1 43S -8.368889e+01 -6.677644e+01 3.618839e+01 4429 1 51S -5.268889e+01 -6.677644e+01 4.131601e+01 5253 1 59S -3.268889e+01 -6.677644e+01 4.652078e+01 6077 1 67S -7.668889e+01 -6.677644e+01 5.169752e+01 6901 1 75S -8.368889e+01 -6.677644e+01 5.685452e+01 7725 1 83S -7.168889e+01 -6.677644e+01 6.203903e+01 8549 1 91S -6.068889e+01 -6.677644e+01 6.710488e+01 9373 1 99S -8.368889e+01 -6.677644e+01 7.217313e+01 10197 1 100 -8.368889e+01 -6.677644e+01 7.219441e+01 10300 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.219441e+01 total solves : 10300 best bound : -6.677644e+01 simulation ci : -5.960112e+01 ± 3.154656e+00 numeric issues : 0 ------------------------------------------------------------------- ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** [ Info: forward_passes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] JuMP.VariableRef in MOI.EqualTo{Float64} : [1, 1] JuMP.VariableRef in MOI.GreaterThan{Float64} : [1, 1] JuMP.VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 3.000000e+00 6.000000e+00 1.942158e-03 8 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.942158e-03 total solves : 8 best bound : 6.000000e+00 simulation ci : 3.000000e+00 ± NaN numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 [ Info: local_improvement_search.jl [ Info: exp = 15 [ Info: OA(exp) = 220 [ Info: piecewise = 7 [ Info: OA(piecewise) = 6 [ Info: squared = 3 [ Info: OA(squared) = 16 [ Info: parallel_schemes.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [1, 1] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.000000e+00 6.000000e+00 3.748246e+02 2 3 20 5.000000e+00 6.000000e+00 3.799210e+02 40 3 ------------------------------------------------------------------- status : iteration_limit total time (s) : 3.799210e+02 total solves : 40 best bound : 6.000000e+00 simulation ci : 6.300000e+00 ± 9.963686e-01 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Re-training a model with existing cuts! │ │ Are you sure you want to do this? The output from this training may be │ misleading because the policy is already partially trained. │ │ If you meant to train a new policy with different settings, you must │ build a new model. │ │ If you meant to refine a previously trained policy, turn off this │ warning by passing `add_to_existing_cuts = true` as a keyword argument │ to `SDDP.train`. │ │ In a future release, this warning may turn into an error. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/algorithm.jl:1182 ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 4.00000e+00 existing cuts : true options solver : Asynchronous mode with 4 workers. risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+00] bounds range [1e+00, 6e+00] rhs range [4e+00, 4e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 5.000000e+00 6.000000e+00 4.766741e-01 48 1 20 9.000000e+00 6.000000e+00 9.616930e-01 162 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 9.616930e-01 total solves : 162 best bound : 6.000000e+00 simulation ci : 5.900000e+00 ± 9.633534e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: risk_measures.jl ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 ┌ Warning: Radius is very small. You should probably use `SDDP.Expectation()` instead. └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/risk_measures.jl:529 [ Info: sampling_schemes.jl [ Info: stopping_rules.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [0e+00, 0e+00] objective range [1e+00, 1e+00] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 1.515429e-01 4 1 50 0.000000e+00 0.000000e+00 5.507550e-01 200 1 ------------------------------------------------------------------- status : first_stage_stopping total time (s) : 5.507550e-01 total solves : 200 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:133 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:133 Simulated policy value: [ 5.035598e+00, 6.964402e+00] Simulated policy value: [ 5.282880e+00, 7.117120e+00] Simulated policy value: [ 5.606329e+00, 7.393671e+00] ┌ Warning: Are you really sure you want to use this stopping rule? Read why we don't recommend it by typing `? SDDP.Statistical` into the REPL to read the docstring. │ │ If you understand what you are doing, you can disable this warning with `SDDP.Statistical(; disable_warning = true)` └ @ SDDP ~/.julia/packages/SDDP/R1Ovj/src/plugins/stopping_rules.jl:133 [ Info: threaded.jl [ Info: value_functions.jl [ Info: visualization.jl ┌ Warning: `SDDP.save` is deprecated. Use `SDDP.plot` instead. │ caller = test_SpaghettiPlot() at visualization.jl:49 └ @ Main.TestVisualization ~/.julia/packages/SDDP/R1Ovj/test/visualization/visualization.jl:49 [ Info: FAST_hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 4] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+00] bounds range [8e+00, 8e+00] rhs range [6e+00, 6e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 -2.000000e+01 -1.000000e+01 7.379371e+00 5 1 20 0.000000e+00 -1.000000e+01 8.045572e+00 104 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 8.045572e+00 total solves : 104 best bound : -1.000000e+01 simulation ci : -1.100000e+01 ± 4.474009e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: FAST_production_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -5.320000e+00 -2.396000e+01 4.108679e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.199619e-01 92 1 15 -4.260000e+01 -2.396000e+01 4.305170e-01 132 1 20 -2.396000e+01 -2.396000e+01 4.416909e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.556630e-01 224 1 30 -5.320000e+00 -2.396000e+01 4.694068e-01 264 1 35 -2.396000e+01 -2.396000e+01 4.837019e-01 304 1 40 -2.396000e+01 -2.396000e+01 4.992280e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 4.992280e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -1.868714e+01 ± 3.990349e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 870ms / 53.6% 10.7MiB / 56.3% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 266ms 57.0% 6.64ms 5.23MiB 86.5% 134KiB solve_subproblem 160 239ms 51.1% 1.49ms 721KiB 11.6% 4.51KiB get_dual_solution 160 1.56ms 0.3% 9.73μs 185KiB 3.0% 1.16KiB prepare_backward_pass 160 148μs 0.0% 927ns 15.0KiB 0.2% 96.0B forward_pass 40 189ms 40.5% 4.72ms 648KiB 10.5% 16.2KiB solve_subproblem 120 186ms 39.9% 1.55ms 475KiB 7.7% 3.96KiB get_dual_solution 120 58.9μs 0.0% 490ns 13.1KiB 0.2% 112B sample_scenario 40 599μs 0.1% 15.0μs 22.3KiB 0.4% 572B calculate_bound 40 12.0ms 2.6% 300μs 182KiB 2.9% 4.54KiB get_dual_solution 40 20.8μs 0.0% 521ns 4.38KiB 0.1% 112B get_dual_solution 36 18.2μs 0.0% 505ns 3.94KiB 0.1% 112B ──────────────────────────────────────────────────────────────────────────────────── ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [8, 8] AffExpr in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-01, 3e+00] bounds range [5e+01, 5e+01] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -2.396000e+01 -2.396000e+01 4.504719e-01 52 1 10 -2.396000e+01 -2.396000e+01 4.595850e-01 92 1 15 -2.396000e+01 -2.396000e+01 4.704978e-01 132 1 20 -4.260000e+01 -2.396000e+01 4.820709e-01 172 1 25 -5.320000e+00 -2.396000e+01 4.986870e-01 224 1 30 -2.396000e+01 -2.396000e+01 5.149250e-01 264 1 35 -2.396000e+01 -2.396000e+01 5.331631e-01 304 1 40 -5.320000e+00 -2.396000e+01 5.544429e-01 344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.544429e-01 total solves : 344 best bound : -2.396000e+01 simulation ci : -2.237170e+01 ± 4.300524e+00 numeric issues : 0 ------------------------------------------------------------------- ──────────────────────────────────────────────────────────────────────────────────── Time Allocations ─────────────────────── ──────────────────────── Tot / % measured: 562ms / 95.6% 12.5MiB / 93.9% Section ncalls time %tot avg alloc %tot avg ──────────────────────────────────────────────────────────────────────────────────── backward_pass 40 295ms 54.9% 7.37ms 10.9MiB 93.1% 279KiB solve_subproblem 160 37.8ms 7.0% 236μs 722KiB 6.0% 4.51KiB get_dual_solution 160 1.44ms 0.3% 9.01μs 185KiB 1.5% 1.16KiB prepare_backward_pass 160 157μs 0.0% 983ns 15.0KiB 0.1% 96.0B forward_pass 40 231ms 43.0% 5.78ms 648KiB 5.4% 16.2KiB solve_subproblem 120 228ms 42.5% 1.90ms 475KiB 4.0% 3.96KiB get_dual_solution 120 52.8μs 0.0% 440ns 13.1KiB 0.1% 112B sample_scenario 40 568μs 0.1% 14.2μs 22.5KiB 0.2% 575B calculate_bound 40 11.4ms 2.1% 286μs 183KiB 1.5% 4.58KiB get_dual_solution 40 23.1μs 0.0% 576ns 4.38KiB 0.0% 112B get_dual_solution 36 12.7μs 0.0% 352ns 3.94KiB 0.0% 112B ──────────────────────────────────────────────────────────────────────────────────── [ Info: FAST_quickstart.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 1 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [3, 4] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [2, 2] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 5e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 -2.500000e+00 3.662500e-01 5 1 2 -2.500000e+00 -2.000000e+00 5.681190e-01 14 1 3 -1.000000e+00 -2.000000e+00 5.799811e-01 19 1 4 -1.000000e+00 -2.000000e+00 5.816281e-01 24 1 5 -1.000000e+00 -2.000000e+00 5.828061e-01 29 1 6 -3.000000e+00 -2.000000e+00 5.835831e-01 34 1 7 -1.000000e+00 -2.000000e+00 5.843041e-01 39 1 8 -1.000000e+00 -2.000000e+00 5.850329e-01 44 1 9 -3.000000e+00 -2.000000e+00 5.860629e-01 49 1 10 -1.000000e+00 -2.000000e+00 5.876641e-01 54 1 11 -3.000000e+00 -2.000000e+00 5.891430e-01 59 1 12 -3.000000e+00 -2.000000e+00 5.900371e-01 64 1 13 -1.000000e+00 -2.000000e+00 5.910871e-01 69 1 14 -1.000000e+00 -2.000000e+00 5.928440e-01 74 1 15 -3.000000e+00 -2.000000e+00 5.938420e-01 79 1 16 -1.000000e+00 -2.000000e+00 5.950420e-01 84 1 17 -3.000000e+00 -2.000000e+00 5.969670e-01 89 1 18 -3.000000e+00 -2.000000e+00 5.979600e-01 94 1 19 -1.000000e+00 -2.000000e+00 5.991349e-01 99 1 20 -3.000000e+00 -2.000000e+00 6.006579e-01 104 1 21 -1.000000e+00 -2.000000e+00 6.026731e-01 113 1 22 -1.000000e+00 -2.000000e+00 6.038740e-01 118 1 23 -3.000000e+00 -2.000000e+00 6.048720e-01 123 1 24 -3.000000e+00 -2.000000e+00 6.059260e-01 128 1 25 -1.000000e+00 -2.000000e+00 6.069779e-01 133 1 26 -3.000000e+00 -2.000000e+00 6.090651e-01 138 1 27 -3.000000e+00 -2.000000e+00 6.101780e-01 143 1 28 -1.000000e+00 -2.000000e+00 6.114321e-01 148 1 29 -3.000000e+00 -2.000000e+00 6.130040e-01 153 1 30 -3.000000e+00 -2.000000e+00 6.141460e-01 158 1 31 -1.000000e+00 -2.000000e+00 6.154909e-01 163 1 32 -1.000000e+00 -2.000000e+00 6.176610e-01 168 1 33 -1.000000e+00 -2.000000e+00 6.190641e-01 173 1 34 -3.000000e+00 -2.000000e+00 6.210470e-01 178 1 35 -1.000000e+00 -2.000000e+00 6.222961e-01 183 1 36 -3.000000e+00 -2.000000e+00 6.237111e-01 188 1 37 -1.000000e+00 -2.000000e+00 6.258759e-01 193 1 38 -1.000000e+00 -2.000000e+00 6.273410e-01 198 1 39 -1.000000e+00 -2.000000e+00 6.286480e-01 203 1 40 -1.000000e+00 -2.000000e+00 6.298449e-01 208 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 6.298449e-01 total solves : 208 best bound : -2.000000e+00 simulation ci : -1.812500e+00 ± 3.171441e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: Hydro_thermal.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+00] bounds range [5e+00, 2e+01] rhs range [2e+00, 1e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.000000e+01 1.882708e+01 7.436161e-01 51 1 24 2.178733e+02 2.251256e+02 1.784489e+00 3972 1 30 2.138334e+03 2.336430e+02 3.252169e+00 7674 1 38 8.025312e+02 2.352957e+02 4.512735e+00 10194 1 46 1.737622e+02 2.358930e+02 5.519877e+00 12054 1 59 3.340847e+02 2.361437e+02 6.722158e+00 14097 1 63 1.493193e+03 2.362190e+02 7.911689e+00 15909 1 72 1.044387e+02 2.362973e+02 8.983530e+00 17364 1 98 5.715017e+02 2.364082e+02 1.444423e+01 23094 1 100 4.969839e+02 2.364135e+02 1.525235e+01 23928 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.525235e+01 total solves : 23928 best bound : 2.364135e+02 simulation ci : 2.345669e+02 ± 6.032770e+01 numeric issues : 0 ------------------------------------------------------------------- On average, 2.1 units of thermal are used in the first stage. [ Info: StochDynamicProgramming.jl_multistock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 3 scenarios : 1.43489e+07 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [13, 13] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [7, 7] VariableRef in MOI.LessThan{Float64} : [6, 7] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 5e+00] rhs range [2e+00, 2e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -4.977586e+00 -4.446713e+00 1.412059e+00 1400 1 20 -4.764789e+00 -4.394789e+00 1.699621e+00 2800 1 30 -4.672487e+00 -4.377000e+00 1.983576e+00 4200 1 40 -4.483495e+00 -4.370632e+00 2.261499e+00 5600 1 50 -4.167321e+00 -4.364999e+00 2.588643e+00 7000 1 60 -4.362455e+00 -4.358864e+00 2.895572e+00 8400 1 70 -4.849916e+00 -4.355337e+00 3.189646e+00 9800 1 80 -4.861568e+00 -4.353006e+00 3.494585e+00 11200 1 90 -4.268264e+00 -4.350407e+00 3.794905e+00 12600 1 100 -4.539897e+00 -4.348641e+00 4.278715e+00 14000 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.278715e+00 total solves : 14000 best bound : -4.348641e+00 simulation ci : -4.325070e+00 ± 8.068871e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StochDynamicProgramming.jl_stock.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 1 scenarios : 1.00000e+05 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [3e-01, 2e+00] bounds range [5e-01, 2e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 -1.671715e+00 -1.476962e+00 1.044980e+00 1050 1 20 -1.529197e+00 -1.471817e+00 1.117064e+00 1600 1 30 -1.410768e+00 -1.471408e+00 1.284176e+00 2650 1 40 -1.596461e+00 -1.471258e+00 1.365842e+00 3200 1 50 -1.002277e+00 -1.471216e+00 1.532911e+00 4250 1 60 -1.085156e+00 -1.471164e+00 1.616161e+00 4800 1 70 -1.391746e+00 -1.471164e+00 1.786906e+00 5850 1 80 -1.448703e+00 -1.471132e+00 1.872487e+00 6400 1 90 -1.488989e+00 -1.471087e+00 2.044423e+00 7450 1 100 -1.564260e+00 -1.471075e+00 2.138865e+00 8000 1 110 -1.738157e+00 -1.471075e+00 2.229638e+00 8550 1 120 -1.591292e+00 -1.471075e+00 2.332255e+00 9100 1 130 -1.271481e+00 -1.471075e+00 2.431581e+00 9650 1 140 -1.249746e+00 -1.471075e+00 2.546075e+00 10200 1 150 -1.536222e+00 -1.471075e+00 2.654595e+00 10750 1 160 -1.565422e+00 -1.471075e+00 2.768357e+00 11300 1 170 -1.631076e+00 -1.471075e+00 2.876488e+00 11850 1 180 -1.494909e+00 -1.471075e+00 2.987465e+00 12400 1 182 -9.083563e-01 -1.471075e+00 3.008714e+00 12510 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.008714e+00 total solves : 12510 best bound : -1.471075e+00 simulation ci : -1.462065e+00 ± 2.699238e-02 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_2stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 2 state variables : 4 scenarios : 2.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+06] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 3.455904e+05 3.147347e+05 5.398970e-01 54 1 20 3.336455e+05 3.402383e+05 5.534639e-01 104 1 30 3.993519e+05 3.403155e+05 5.657740e-01 158 1 40 3.337559e+05 3.403155e+05 5.771489e-01 208 1 48 3.337559e+05 3.403155e+05 5.876908e-01 248 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.876908e-01 total solves : 248 best bound : 3.403155e+05 simulation ci : 1.298444e+08 ± 1.785864e+08 numeric issues : 0 ------------------------------------------------------------------- [ Info: StructDualDynProg.jl_prob5.2_3stages.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [29, 29] AffExpr in MOI.EqualTo{Float64} : [4, 5] AffExpr in MOI.GreaterThan{Float64} : [3, 3] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.EqualTo{Float64} : [3, 3] VariableRef in MOI.GreaterThan{Float64} : [22, 22] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 1e+05] bounds range [0e+00, 0e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 4.403329e+05 3.509666e+05 5.039780e-01 92 1 20 4.506600e+05 4.054833e+05 5.253251e-01 172 1 30 3.959476e+05 4.067125e+05 5.449202e-01 264 1 40 4.497721e+05 4.067125e+05 5.638571e-01 344 1 47 3.959476e+05 4.067125e+05 5.782442e-01 400 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.782442e-01 total solves : 400 best bound : 4.067125e+05 simulation ci : 2.696242e+07 ± 3.645299e+07 numeric issues : 0 ------------------------------------------------------------------- [ Info: agriculture_mccardle_farm.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 10 state variables : 4 scenarios : 2.70000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [24, 24] AffExpr in MOI.EqualTo{Float64} : [3, 3] AffExpr in MOI.GreaterThan{Float64} : [1, 1] AffExpr in MOI.LessThan{Float64} : [1, 6] VariableRef in MOI.GreaterThan{Float64} : [20, 20] VariableRef in MOI.LessThan{Float64} : [1, 2] numerical stability report matrix range [1e+00, 8e+01] objective range [1e+00, 1e+03] bounds range [6e+01, 6e+01] rhs range [2e+02, 3e+03] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 8.316000e+03 0.000000e+00 8.597333e+00 14 1 40 2.308500e+03 4.074139e+03 9.469470e+00 776 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.469470e+00 total solves : 776 best bound : 4.074139e+03 simulation ci : 4.224313e+03 ± 6.692189e+02 numeric issues : 0 ------------------------------------------------------------------- [ Info: air_conditioning.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 7.000000e+04 6.250000e+04 2.997022e+00 8 1 5L 4.000000e+04 6.250000e+04 4.136411e+00 52 1 11L 4.000000e+04 6.250000e+04 5.249370e+00 100 1 17L 4.000000e+04 6.250000e+04 6.342789e+00 148 1 20L 6.000000e+04 6.250000e+04 7.000341e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.000341e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.475000e+04 ± 7.336233e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.Integer : [3, 3] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 5.199630e-01 8 1 14 6.000000e+04 6.250000e+04 1.540136e+00 124 1 20 4.000000e+04 6.250000e+04 1.981136e+00 172 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.981136e+00 total solves : 172 best bound : 6.250000e+04 simulation ci : 5.950000e+04 ± 8.933885e+03 numeric issues : 0 ------------------------------------------------------------------- Lower bound is: 62500.0 With first stage solutions 200.0 (production) and 100.0 (stored_production). [ Info: air_conditioning_forward.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 4.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 5] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [4, 4] VariableRef in MOI.LessThan{Float64} : [2, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 3e+02] bounds range [1e+02, 2e+02] rhs range [1e+02, 3e+02] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.000000e+04 6.250000e+04 9.029510e-01 5 1 10 4.000000e+04 6.250000e+04 1.562375e+00 50 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.562375e+00 total solves : 50 best bound : 6.250000e+04 simulation ci : 5.450000e+04 ± 1.135842e+04 numeric issues : 0 ------------------------------------------------------------------- [ Info: all_blacks.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 2 scenarios : 1.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [6, 6] AffExpr in MOI.EqualTo{Float64} : [2, 2] VariableRef in MOI.GreaterThan{Float64} : [2, 3] VariableRef in MOI.LessThan{Float64} : [3, 3] VariableRef in MOI.ZeroOne : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1L 6.000000e+00 9.000000e+00 8.633959e-01 6 1 20L 9.000000e+00 9.000000e+00 1.003833e+00 123 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.003833e+00 total solves : 123 best bound : 9.000000e+00 simulation ci : 8.850000e+00 ± 2.940000e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_simple.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 8.00000e+00 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 -1.109375e+01 2.605769e-01 2.717131e+00 87 1 10 -1.109375e+01 2.605769e-01 2.728992e+00 142 1 15 3.105797e+00 5.434132e-01 2.742136e+00 197 1 20 -2.463349e+01 1.503415e+00 2.756061e+00 252 1 25 -1.421085e-14 1.514085e+00 2.768800e+00 307 1 30 4.864000e+01 1.514085e+00 5.300468e+00 394 1 35 4.864000e+01 1.514085e+00 5.319484e+00 449 1 40 -8.870299e+00 1.514085e+00 5.337092e+00 504 1 45 -1.428571e+00 1.514085e+00 5.352863e+00 559 1 48 -1.428571e+00 1.514085e+00 5.362367e+00 592 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 5.362367e+00 total solves : 592 best bound : 1.514085e+00 simulation ci : 2.494033e+00 ± 5.472486e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: asset_management_stagewise.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.395796e+01 1.428818e+00 2.449768e+00 278 1 20 1.440356e+01 1.278425e+00 2.483886e+00 428 1 30 8.388546e+00 1.278425e+00 2.542575e+00 706 1 40 6.666667e-03 1.278410e+00 2.579801e+00 856 1 50 -5.614035e+00 1.278410e+00 2.640670e+00 1134 1 60 1.426676e+01 1.278410e+00 2.684226e+00 1284 1 64 1.261296e+01 1.278410e+00 2.702597e+00 1344 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 2.702597e+00 total solves : 1344 best bound : 1.278410e+00 simulation ci : 8.172580e-01 ± 5.385320e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 7 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : #108 sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [5, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [2, 5] VariableRef in MOI.LessThan{Float64} : [1, 1] numerical stability report matrix range [1e+00, 1e+00] objective range [2e-02, 4e+00] bounds range [1e+03, 1e+03] rhs range [6e+01, 8e+01] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 1.111809e+00 1.278488e+00 1.526332e+00 278 1 20 1.111084e+01 1.278410e+00 1.578014e+00 428 1 30 2.293779e+01 1.278410e+00 1.664424e+00 706 1 40 1.426676e+01 1.278410e+00 1.744184e+00 856 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.744184e+00 total solves : 856 best bound : 1.278410e+00 simulation ci : 3.654300e+00 ± 6.176856e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: belief.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 4 state variables : 1 scenarios : Inf existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [7, 7] AffExpr in MOI.EqualTo{Float64} : [1, 1] AffExpr in MOI.GreaterThan{Float64} : [2, 2] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [5, 5] VariableRef in MOI.LessThan{Float64} : [3, 3] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 2e+00] bounds range [2e+00, 1e+02] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 2.694235e+00 1.060052e+01 8.936273e+00 900 1 20 5.498088e+00 1.456766e+01 9.474621e+00 1720 1 30 2.912197e+01 1.665921e+01 1.071956e+01 3036 1 40 1.608515e+01 1.792397e+01 1.215628e+01 4192 1 50 3.997965e+00 1.830624e+01 1.336262e+01 5020 1 60 1.102045e+01 1.840685e+01 1.469697e+01 5808 1 70 8.045596e+00 1.846781e+01 1.603224e+01 6540 1 80 4.710242e+01 1.851858e+01 1.698050e+01 7088 1 90 3.901806e+01 1.865685e+01 1.912478e+01 8180 1 100 8.003646e+00 1.869095e+01 2.016838e+01 8664 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 2.016838e+01 total solves : 8664 best bound : 1.869095e+01 simulation ci : 2.075231e+01 ± 4.077473e+00 numeric issues : 0 ------------------------------------------------------------------- [ Info: biobjective_hydro.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 5] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 0.000000e+00 0.000000e+00 4.282073e+00 36 1 10 0.000000e+00 0.000000e+00 4.322184e+00 360 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 4.322184e+00 total solves : 360 best bound : 0.000000e+00 simulation ci : 0.000000e+00 ± 0.000000e+00 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 7] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.500000e+02 5.500000e+02 5.997896e-03 407 1 10 2.850000e+02 5.728212e+02 5.901599e-02 731 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.901599e-02 total solves : 731 best bound : 5.728212e+02 simulation ci : 6.480000e+02 ± 1.400040e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 13] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.150000e+02 3.347014e+02 5.983829e-03 778 1 10 2.825000e+02 3.465177e+02 6.005502e-02 1102 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.005502e-02 total solves : 1102 best bound : 3.465177e+02 simulation ci : 3.598954e+02 ± 6.281469e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 20] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.387500e+02 1.994007e+02 6.247997e-03 1149 1 10 2.587500e+02 2.052799e+02 1.278379e-01 1473 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 1.278379e-01 total solves : 1473 best bound : 2.052799e+02 simulation ci : 2.206923e+02 ± 2.764045e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 24] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 9.375000e+02 4.637735e+02 7.107019e-03 1520 1 10 2.875000e+02 4.661908e+02 6.608391e-02 1844 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.608391e-02 total solves : 1844 best bound : 4.661908e+02 simulation ci : 5.075000e+02 ± 1.503394e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 30] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 1.112500e+02 1.129545e+02 6.639957e-03 1891 1 10 1.000000e+02 1.129771e+02 5.826688e-02 2215 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 5.826688e-02 total solves : 2215 best bound : 1.129771e+02 simulation ci : 1.068750e+02 ± 2.168477e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 34] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.562500e+02 2.788383e+02 6.789207e-03 2262 1 10 1.625000e+02 2.794553e+02 6.675601e-02 2586 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.675601e-02 total solves : 2586 best bound : 2.794553e+02 simulation ci : 2.690625e+02 ± 6.720434e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 37] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 4.810804e+02 4.073537e+02 7.434845e-03 2633 1 10 5.487500e+02 4.077574e+02 7.699394e-02 2957 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.699394e-02 total solves : 2957 best bound : 4.077574e+02 simulation ci : 3.863418e+02 ± 9.936379e+01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 43] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 2.718750e+02 5.198033e+02 8.615971e-03 3004 1 10 6.771875e+02 5.210100e+02 7.966709e-02 3328 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 7.966709e-02 total solves : 3328 best bound : 5.210100e+02 simulation ci : 5.831217e+02 ± 1.295425e+02 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 1 scenarios : 1.33100e+03 existing cuts : true options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [9, 9] AffExpr in MOI.EqualTo{Float64} : [2, 4] AffExpr in MOI.GreaterThan{Float64} : [3, 50] VariableRef in MOI.EqualTo{Float64} : [1, 1] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.LessThan{Float64} : [5, 6] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 1 7.812500e+01 5.720558e+01 7.457972e-03 3375 1 10 5.312500e+01 5.938345e+01 6.653595e-02 3699 1 ------------------------------------------------------------------- status : iteration_limit total time (s) : 6.653595e-02 total solves : 3699 best bound : 5.938345e+01 simulation ci : 6.187500e+01 ± 1.306667e+01 numeric issues : 0 ------------------------------------------------------------------- [ Info: booking_management.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 2 scenarios : 3.20000e+01 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [10, 10] AffExpr in MOI.EqualTo{Float64} : [2, 2] AffExpr in MOI.GreaterThan{Float64} : [2, 2] AffExpr in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.GreaterThan{Float64} : [5, 6] VariableRef in MOI.LessThan{Float64} : [6, 6] VariableRef in MOI.ZeroOne : [5, 5] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 6e+00] bounds range [1e+00, 1e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 5 8.000000e+00 9.440450e+00 1.910691e+00 235 1 10 1.000000e+01 9.159200e+00 2.392223e+00 310 1 15 1.000000e+01 9.159200e+00 2.913167e+00 385 1 20 1.000000e+01 9.159200e+00 3.414157e+00 460 1 25 1.000000e+01 9.159200e+00 6.170151e+00 695 1 30 4.000000e+00 9.159200e+00 6.635691e+00 770 1 35 1.000000e+01 9.159200e+00 7.125685e+00 845 1 40 1.000000e+01 9.159200e+00 7.656145e+00 920 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 7.656145e+00 total solves : 920 best bound : 9.159200e+00 simulation ci : 7.200000e+00 ± 8.485598e-01 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 3 state variables : 4 scenarios : 2.16000e+02 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [18, 18] AffExpr in MOI.EqualTo{Float64} : [4, 4] AffExpr in MOI.GreaterThan{Float64} : [4, 4] AffExpr in MOI.LessThan{Float64} : [12, 12] VariableRef in MOI.GreaterThan{Float64} : [9, 10] VariableRef in MOI.LessThan{Float64} : [10, 10] VariableRef in MOI.ZeroOne : [9, 9] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 4e+00] bounds range [1e+00, 2e+01] rhs range [1e+00, 1e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.000000e+00 6.959189e+00 1.860134e+00 510 1 20 1.000000e+01 6.834387e+00 3.437099e+00 720 1 30 7.000000e+00 6.834387e+00 7.236580e+00 1230 1 40 1.000000e+01 6.823805e+00 8.951699e+00 1440 1 50 3.000000e+00 6.823805e+00 1.321517e+01 1950 1 60 2.000000e+00 6.823805e+00 1.492914e+01 2160 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 1.492914e+01 total solves : 2160 best bound : 6.823805e+00 simulation ci : 6.183333e+00 ± 6.694539e-01 numeric issues : 0 ------------------------------------------------------------------- [ Info: generation_expansion.jl ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10 5.299676e+06 2.074407e+06 1.146574e+01 920 1 20 6.049875e+06 2.075240e+06 1.395284e+01 1340 1 30 5.496647e+05 2.078257e+06 2.398787e+01 2260 1 40 3.985383e+04 2.078257e+06 2.646773e+01 2680 1 50 2.994548e+05 2.078257e+06 3.663701e+01 3600 1 60 3.799457e+06 2.078257e+06 3.928671e+01 4020 1 61 3.549665e+06 2.078257e+06 3.954365e+01 4062 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 3.954365e+01 total solves : 4062 best bound : 2.078257e+06 simulation ci : 2.437601e+06 ± 5.082681e+05 numeric issues : 0 ------------------------------------------------------------------- ------------------------------------------------------------------- SDDP.jl (c) Oscar Dowson and contributors, 2017-26 ------------------------------------------------------------------- problem nodes : 5 state variables : 5 scenarios : 3.27680e+04 existing cuts : false options solver : serial mode risk measure : SDDP.Expectation() sampling scheme : SDDP.InSampleMonteCarlo subproblem structure VariableRef : [14, 14] AffExpr in MOI.GreaterThan{Float64} : [7, 7] AffExpr in MOI.LessThan{Float64} : [4, 4] VariableRef in MOI.GreaterThan{Float64} : [8, 8] VariableRef in MOI.Integer : [5, 5] VariableRef in MOI.LessThan{Float64} : [5, 6] numerical stability report matrix range [1e+00, 1e+00] objective range [1e+00, 5e+05] bounds range [1e+00, 1e+00] rhs range [0e+00, 0e+00] ------------------------------------------------------------------- iteration simulation bound time (s) solves pid ------------------------------------------------------------------- 10L 2.049870e+06 2.079457e+06 2.975408e+01 920 1 20L 2.799668e+06 2.079457e+06 4.938424e+01 1340 1 30L 3.799443e+06 2.079457e+06 7.793782e+01 2260 1 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 87 running 1 of 1 signal (10): User defined signal 1 malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x2bc6bbff) at (unknown file) unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== 40L ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 4.299882e+06Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000750e601fc010 Total snapshots: 115. Utilization: 100% ╎109 @Base/client.jl:593 _start() ╎ 109 @Base/client.jl:318 exec_options(opts::Base.JLOptions) ╎ 109 @Base/boot.jl:517 eval(m::Module, e::Any) ╎ 109 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ 109 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _path::S… ╎ 109 @Base/loading.jl:3173 _include(mapexpr::Function, mod::Module, _p… ╎ ╎ 109 @Base/loading.jl:3113 include_string(mapexpr::typeof(identity), … ╎ ╎ 109 @Base/boot.jl:517 eval(m::Module, e::Any) ╎ ╎ 109 …j/test/runtests.jl:11 util_test_directory(dir::String) ╎ ╎ 109 …j/test/runtests.jl:15 util_test_directory(dir::String, exclu… ╎ ╎ 109 @Test/src/Test.jl:2246 get_testset() ╎ ╎ ╎ 109 …/test/runtests.jl:17 macro expansion ╎ ╎ ╎ 109 @Base/Base.jl:328 IncludeInto ╎ ╎ ╎ 109 @Base/Base.jl:327 include(mapexpr::Function, mod::Module,… ╎ ╎ ╎ 109 @Base/loading.jl:3173 _include(mapexpr::Function, mod::M… ╎ ╎ ╎ 109 @Base/loading.jl:3113 include_string(mapexpr::typeof(id… ╎ ╎ ╎ ╎ 109 @Base/boot.jl:517 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 109 …on_expansion.jl:88 generation_expansion(duality_hand… ╎ ╎ ╎ ╎ 109 @SDDP/…orithm.jl:1117 get(A::Vector{String}, i::Int6… ╎ ╎ ╎ ╎ 109 @SDDP/…rithm.jl:1292 train(model::SDDP.PolicyGraph{… ╎ ╎ ╎ ╎ 109 @SDDP/…chemes.jl:50 master_loop(::SDDP.Serial, mod… ╎ ╎ ╎ ╎ ╎ 109 @Base/c.jl:167 disable_sigint ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…hemes.jl:51 (::SDDP.var"#master_loop##0#m… ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…ithm.jl:1000 iteration(model::SDDP.Polic… ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…ders.jl:93 convergence_test(graph::SDDP… ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…les.jl:413 convergence_test(model::SDD… ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…les.jl:326 (::SDDP.var"#simulator#203… ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…hm.jl:1541 vect(::Symbol, ::Symbol) ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…hm.jl:1541 kwcall(::@NamedTuple{sam… ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…hm.jl:1552 #simulate#108 ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…es.jl:63 _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…es.jl:71 #_simulate#225 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @Base/…ay.jl:3390 map ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @Base/…ay.jl:768 collect_similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @Base/…ay.jl:863 _collect(c::UnitRan… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @Base/…ay.jl:869 collect_to_with_fi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @Base/…ay.jl:914 setindex!(A::Vect… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @Base/…or.jl:48 _setindex!(A::Vec… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…es.jl:72 #227 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…hm.jl:1335 _simulate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 109 @SDDP/…hm.jl:1383 _simulate(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 109 @SDDP/…hm.jl:492 kwcall(::@Nam… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 108 @SDDP/…hm.jl:518 solve_subprob… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 108 @JuMP/…ce.jl:560 getproperty(x… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 108 @JuMP/…ce.jl:610 optimize!(mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 108 @MathOptInterface/…:379 optimi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 108 @MathOptInterface/…:367 iterat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 108 @HiGHS/…r.jl:2300 optimize!(mo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 108 @Base/c.jl:167 disable_sigint(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 108 @HiGHS/…r.jl:2300 (::HiGHS.var… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 108 @HiGHS/…r.jl:2253 _Highs_run_w… 107╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 108 @HiGHS/…s.jl:328 !=(x::Int32, … ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @SDDP/…hm.jl:533 solve_subprob… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @SDDP/…hm.jl:204 get_outgoing_… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ct.jl:365 setindex!(h::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ct.jl:328 _setindex!(h:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ry.jl:270 setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ry.jl:263 _setindex! 2.079457e+06 9.757094e+01 2680 1 ------------------------------------------------------------------- status : simulation_stopping total time (s) : 9.757094e+01 total solves : 2680 best bound : 2.079457e+06 simulation ci : 1.602238e+06 ± 4.944385e+05 numeric issues : 0 ------------------------------------------------------------------- [ Info: hydro_valley.jl ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457:34 wait at ./task.jl:1246:50 wait_forever at ./task.jl:1168:5 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007fcb0ccbc5b0 Total snapshots: 428. Utilization: 0% ╎428 @Base/task.jl:1168 wait_forever() 427╎ 428 @Base/task.jl:1246 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457:34 wait at ./task.jl:1246:50 wait_forever at ./task.jl:1168:5 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) Allocations: 20227944 (Pool: 20227256; Big: 688); GC: 15 [87] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/hydro_valley.jl:307 _ZN4llvm14DomTreeBuilder11SemiNCAInfoINS_17DominatorTreeBaseINS_17MachineBasicBlockELb1EEEE11getChildrenILb0EEENS_11SmallVectorIPS3_Lj8EEES8_PNS5_15BatchUpdateInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14DomTreeBuilder11SemiNCAInfoINS_17DominatorTreeBaseINS_17MachineBasicBlockELb1EEEE20HasForwardSuccessorsEPS3_PNS5_15BatchUpdateInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14DomTreeBuilder11SemiNCAInfoINS_17DominatorTreeBaseINS_17MachineBasicBlockELb1EEEE9FindRootsERKS4_PNS5_15BatchUpdateInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14DomTreeBuilder11SemiNCAInfoINS_17DominatorTreeBaseINS_17MachineBasicBlockELb1EEEE20CalculateFromScratchERS4_PNS5_15BatchUpdateInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm35MachinePostDominatorTreeWrapperPass20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1392:23 compileModule at /source/src/jitlayers.cpp:2348:79 materialize at /source/src/jitlayers.cpp:884:36 _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) process_tasks at /source/src/julia-task-dispatcher.h:396:15 dispatch at /source/src/julia-task-dispatcher.h:356:20 _ZN4llvm3orc16ExecutionSession22dispatchOutstandingMUsEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc16ExecutionSession17OL_completeLookupESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EESt10shared_ptrINS0_23AsynchronousSymbolQueryEESt8functionIFvRKNS_8DenseMapIPNS0_8JITDylibENS_8DenseSetINS0_15SymbolStringPtrENS_12DenseMapInfoISF_vEEEENSG_ISD_vEENS_6detail12DenseMapPairISD_SI_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc25InProgressFullLookupState8completeESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc16ExecutionSession19OL_applyQueryPhase1ESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EENS_5ErrorE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm3orc16ExecutionSession6lookupENS0_10LookupKindERKSt6vectorISt4pairIPNS0_8JITDylibENS0_19JITDylibLookupFlagsEESaIS8_EENS0_15SymbolLookupSetENS0_11SymbolStateENS_15unique_functionIFvNS_8ExpectedINS_8DenseMapINS0_15SymbolStringPtrENS0_17ExecutorSymbolDefENS_12DenseMapInfoISI_vEENS_6detail12DenseMapPairISI_SJ_EEEEEEEEESt8functionIFvRKNSH_IS6_NS_8DenseSetISI_SL_EENSK_IS6_vEENSN_IS6_SV_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) publishCIs at /source/src/jitlayers.cpp:2046:14 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:496:39 jl_compile_method_internal at /source/src/gf.c:3652:27 _jl_invoke at /source/src/gf.c:4105:16 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 PolicyGraph at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/user_interface.jl:927:70 #MarkovianPolicyGraph#13 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/user_interface.jl:872:12 [inlined] MarkovianPolicyGraph at /home/pkgeval/.julia/packages/SDDP/R1Ovj/src/user_interface.jl:867:33 unknown function (ip: 0x750e3a904943) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 #hydro_valley_model#129 at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/hydro_valley.jl:94:125 hydro_valley_model at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/hydro_valley.jl:46:55 [inlined] test_hydro_valley_model at /home/pkgeval/.julia/packages/SDDP/R1Ovj/docs/src/examples/hydro_valley.jl:219:16 unknown function (ip: 0x750e3a8f4ecc) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:693:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:517:3 include_string at ./loading.jl:3113:145 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 _include at ./loading.jl:3173:45 include at ./Base.jl:327:3 IncludeInto at ./Base.jl:328:4 [inlined] macro expansion at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:17:27 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:41 [inlined] util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:15:329 util_test_directory at /home/pkgeval/.julia/packages/SDDP/R1Ovj/test/runtests.jl:11:3 unknown function (ip: 0x750e3af316a2) at (unknown file) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:693:13 eval_body at /source/src/interpreter.c:550:21 eval_body at /source/src/interpreter.c:558:21 eval_body at /source/src/interpreter.c:558:21 eval_body at /source/src/interpreter.c:558:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:517:3 include_string at ./loading.jl:3113:145 _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 _include at ./loading.jl:3173:45 include at ./Base.jl:327:3 IncludeInto at ./Base.jl:328:4 jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:693:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:517:3 exec_options at ./client.jl:318:410 _start at ./client.jl:593:36 jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113:23 [inlined] ijl_apply_generic at /source/src/gf.c:4339:12 jl_apply at /source/src/julia.h:2327:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x750e7aaff249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 523129408 (Pool: 523126311; Big: 3097); GC: 103 PkgEval terminated after 2729.32s: test duration exceeded the time limit